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Title:
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AN APPLICATION OF TRUST RANKING IN ONLINE COMMUNITY TO PROTECTION OF PRIVATE DATA |
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Author(s):
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Koji Miyauchi |
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ISBN:
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978-972-8924-44-7 |
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Editors:
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Pedro Isaías , Miguel Baptista Nunes and João Barroso (associate editors Luís Rodrigues and Patrícia Barbosa) |
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Year:
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2007 |
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Edition:
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V II, 2 |
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Keywords:
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Online-Community, Trust, Privacy, Security, Access control setting |
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Type:
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Poster/Demonstration |
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First Page:
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352 |
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Last Page:
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354 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Privacy is one of the most important problems in online communities. The common way to protect our data is to set the
access control information according to the level of trustworthiness of members. However, because of the frequent
changes of online community, the settings must be updated accordingly. I propose a method to tell when to update the
security settings in order for the community members to keep their data protection effective. We collect trust relations
among members, construct a Trust Network Graph, and calculate the degree of trustworthiness of members from the
graph structure periodically. If the method detects members whose trust states change worse, it proposes updating the
access control settings. This method reduces the load of community members to keep watching the trust states of
community. |
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